In this paper we show that there are some intriguing links between the Backpropagation and LVQ algorithms. We show that Backpropagation used for training the weights of radial basis function networks exhibits an increasing competitive nature as the dispersion parameters decrease. In particular, we prove that LVQ can be regarded as a competitive learning scheme taking place in radial basis function networks. © 1997 Elsevier Science B.V.
Frasconi, P., Gori, M., Soda, G. (1997). Links between LVQ and Backpropagation. PATTERN RECOGNITION LETTERS, 18(4), 303-310 [10.1016/S0167-8655(97)00018-4].
Links between LVQ and Backpropagation
Gori M.;
1997-01-01
Abstract
In this paper we show that there are some intriguing links between the Backpropagation and LVQ algorithms. We show that Backpropagation used for training the weights of radial basis function networks exhibits an increasing competitive nature as the dispersion parameters decrease. In particular, we prove that LVQ can be regarded as a competitive learning scheme taking place in radial basis function networks. © 1997 Elsevier Science B.V.
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https://hdl.handle.net/11365/36639
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